The graph represents a network of 3,385 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 22 April 2020 at 09:02 UTC.
The requested start date was Wednesday, 22 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 11-hour, 44-minute period from Wednesday, 08 April 2020 at 00:02 UTC to Tuesday, 21 April 2020 at 11:46 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
The graph is directed.
The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Author Description
Vertices : 3385
Unique Edges : 1866
Edges With Duplicates : 3874
Total Edges : 5740
Number of Edge Types : 5
Retweet : 1539
MentionsInRetweet : 1826
Replies to : 495
Mentions : 1118
Tweet : 762
Self-Loops : 815
Reciprocated Vertex Pair Ratio : 0.00939912722390064
Reciprocated Edge Ratio : 0.018623212504157
Connected Components : 798
Single-Vertex Connected Components : 331
Maximum Vertices in a Connected Component : 184
Maximum Edges in a Connected Component : 437
Maximum Geodesic Distance (Diameter) : 18
Average Geodesic Distance : 3.571979
Graph Density : 0.000262509122781287
Modularity : 0.560415
NodeXL Version : 1.0.1.431
Data Import : The graph represents a network of 3,385 Twitter users whose tweets in the requested range contained "SARS-NCOV", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Wednesday, 22 April 2020 at 09:02 UTC.
The requested start date was Wednesday, 22 April 2020 at 00:01 UTC and the maximum number of days (going backward) was 14.
The maximum number of tweets collected was 5,000.
The tweets in the network were tweeted over the 13-day, 11-hour, 44-minute period from Wednesday, 08 April 2020 at 00:02 UTC to Tuesday, 21 April 2020 at 11:46 UTC.
Additional tweets that were mentioned in this data set were also collected from prior time periods. These tweets may expand the complete time period of the data.
There is an edge for each "replies-to" relationship in a tweet, an edge for each "mentions" relationship in a tweet, and a self-loop edge for each tweet that is not a "replies-to" or "mentions".
Layout Algorithm : The graph was laid out using the Harel-Koren Fast Multiscale layout algorithm.
Graph Source : GraphServerTwitterSearch
Graph Term : SARS-NCOV
Groups : The graph's vertices were grouped by cluster using the Clauset-Newman-Moore cluster algorithm.
Edge Color : Edge Weight
Edge Width : Edge Weight
Edge Alpha : Edge Weight
Vertex Radius : Betweenness Centrality
Top Domains
Top Word Pairs in Tweet in Entire Graph:
[1199] sars,cov [712] 2019,ncov [687] covid,19 [463] sars,ncov [229] ncov,covid [199] coronavirus,sars [189] swine,flu [182] year,h1n1pmd09 [182] h1n1pmd09,swine [182] flu,infected Top Word Pairs in Tweet in G1:
[216] sars,cov [160] 2019,ncov [95] covid,19 [30] sars,ncov [28] イムノクロマト法,による血中抗sars [27] 迅速簡易検出法,イムノクロマト法 [27] による血中抗sars,cov [27] cov,2抗体の評価 [27] 地震,傀儡 [26] novel,coronavirus Top Word Pairs in Tweet in G2:
[182] year,h1n1pmd09 [182] h1n1pmd09,swine [182] swine,flu [182] flu,infected [182] infected,61 [182] 61,million [182] million,americans [182] americans,12 [182] 12,469 [182] 469,died Top Word Pairs in Tweet in G3:
[108] ダラダラpcrが陽性になり,退院できなかった症例 [108] 退院できなかった症例,今後こういうのはホテル案件でしょうね [108] 今後こういうのはホテル案件でしょうね,副鼻腔炎の所見を有し [108] 副鼻腔炎の所見を有し,ウイルス排出が遷延化した一つの要因と挙げられた [108] ウイルス排出が遷延化した一つの要因と挙げられた,鼻炎 [108] 鼻炎,副鼻腔炎を併発し [108] 副鼻腔炎を併発し,発病からsars [108] 発病からsars,2019 [108] 2019,ncov [108] ncov,pcr Top Word Pairs in Tweet in G4:
[84] sars,cov [20] amazing,see [20] see,3000 [20] 3000,sars [20] cov,genomes [20] genomes,nextstrain [20] nextstrain,analysis [20] analysis,here's [20] here's,unrooted [20] unrooted,tree Top Word Pairs in Tweet in G5:
[82] sars,cov [76] coronavirus,sars [75] arn,completos [75] completos,coronavirus [74] secuenciado,4240 [74] 4240,arn [74] cov,expliqué [74] expliqué,mis [74] mis,estudiantes [73] emulenews,secuenciado Top Word Pairs in Tweet in G6:
[44] twitter,s'emballe [44] s'emballe,oh [44] oh,surprise [44] surprise,#montagnier [44] #montagnier,#coronavirus [44] #coronavirus,#hiv [44] #hiv,redire [44] redire,autrement [44] autrement,t'il [44] t'il,homologies Top Word Pairs in Tweet in G7:
[130] sars,cov [94] #coronavirus,sars [84] tota,informació [54] informació,salutcat [38] coronavirus,sars [36] #joactuo,#ensensortirem [32] trobaràs,tota [32] informació,actualitzada [31] #canalsalut,trobaràs [31] actualitzada,coronavirus Top Word Pairs in Tweet in G8:
[64] covid,19 [58] scholars,portal [47] sars,cov [32] 2020,04 [30] articles,covid [30] portal,périodiques [28] 19,scholars [28] portal,journals [26] #covid19,#sarscov2 [19] 2019,ncov Top Word Pairs in Tweet in G9:
[15] 2019,ncov [13] sars,cov [12] #openletter,potus [12] potus,speakerpelosi [12] speakerpelosi,senatemajldr [12] senatemajldr,secpompeo [12] secpompeo,esperdod [12] esperdod,statedeptct [12] statedeptct,odnigov [12] odnigov,cia Top Word Pairs in Tweet in G10:
[30] 2019,ncov [14] ncov,sars [11] sars,cov [8] indian,researchers [7] covid,19 [7] #wuhan,outbreak [7] outbreak,indian [7] researchers,compared [7] compared,protein [7] protein,sequence Top Replied-To in Entire Graph:
Top Replied-To in G4:
Top Replied-To in G5:
Top Replied-To in G6:
Top Replied-To in G7:
Top Replied-To in G8:
Top Replied-To in G9:
Top Replied-To in G10:
Top Mentioned in Entire Graph:
Top Mentioned in G1:
Top Mentioned in G2:
Top Mentioned in G3:
Top Mentioned in G4:
Top Mentioned in G5:
Top Mentioned in G6:
Top Mentioned in G7:
Top Mentioned in G8:
Top Mentioned in G9:
Top Mentioned in G10:
Top Tweeters in Entire Graph:
Top Tweeters in G1:
Top Tweeters in G2:
Top Tweeters in G3:
Top Tweeters in G4:
Top Tweeters in G5:
Top Tweeters in G6:
Top Tweeters in G7:
Top Tweeters in G8:
Top Tweeters in G9:
Top Tweeters in G10: